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Lichess makes over 100GB of chess games from 2017 available on their website. This post shows how this data can be transformed with Apache Spark and analysed. Something for Data Engineers and Chess Enthusiasts alike!

This blog post, written by a graduate developer joining the Edinburgh team, reflects on his induction week experience at Newcastle. A total of sixteen graduates across UX, development, and testing joined this August, and the induction was an ideal opportunity for everyone to meet.

This post demonstrates one way to add Selenium e2e tests to a `create-react-app` generated app. It uses Jest as the test runner, embraces modern JavaScript features (including async/await, modules, fat-arrow functions, templated strings, etc.) and attempts to ensure that modern editors are able to provide useful auto-complete suggestions when authoring tests.

Yesterday the Financial Times boldly declared that BP saved $7bn since 2014 by investing in Big Data technologies. I spent a couple of hours researching Big Data technologies associated with BP members of staff to try and build up a picture of exactly which technologies they are using.

Using microservices in your architecture is a very popular choice. Unfortunately it is also challenging to get it right. With the help of Twelve-Factor methodology, I will tell you how to set yourself up for a success rather than a disappointment.

A few months ago we contributed a project, ContainerJS, to the Symphony Software Foundation, an organization that fosters open source and collaboration within financial services. The Foundation has various legal requirements that must be adhered to, including that all contributors (i.e. committers) sign a Contributor License Agreement (CLA). Unfortunately as...

Inspired by a recent dot chart visualisation focusing on the change of a value in different circumstances, this blog post presents the same data visualised using a slopegraph and compares and contrasts the two forms.

Place names in UK and Ireland are very much influenced by their surroundings, with endings such as -hill, -ford, and -wood quite clearly referencing local geography. This blog post uses the new NDJSON command line tools for processing, transforming and joining datasets to create an optimised visualisation.

Does npm 5 deprecate yarn? With promises of increased speed and consistent package versions yarn has a new competitor, but in this post I'll show the reasons for why, for the time being, I'll be sticking with yarn.